Dataset: High resolution sea ice type

Dataset: High resolution sea ice type#

Dataset identifier: cmems_obs-si_arc_phy-icetype_nrt_L4-auto_P1D
Data store: cmems

How to open this dataset in AVL JupyterLab

cmems_store = new_data_store('cmems')
ds = cmems_store.open_data('cmems_obs-si_arc_phy-icetype_nrt_L4-auto_P1D')

Click on a variable name to jump to the variable’s full metadata.

Variable	Long name	Units
confidence	confidence level	%
ice_type	sea ice type	[none]

Field	Value
grid_mapping_name	polar_stereographic
straight_vertical_longitude_from_pole	0.0
latitude_of_projection_origin	90.0
standard_parallel	90.0
false_easting	0.0
false_northing	0.0
proj4_string	+proj=stere +lat_0=90n +lon_0=0e +lat_ts=90n +r=6371000
DODS	strlen: 0

Field	Value
long_name	sea ice type
standard_name	sea_ice_classification
grid_mapping	crs
flag_values	-1, 0, 1, 2, 3
flag_meanings	land open_water young_ice first_year_ice multi_year_ice
flag_descriptions	-1 -> land 0 -> no ice or very open ice 1 -> young ice 2 -> fist year ice 3 -> ice that survived a summer melt
source	MET Norway
fill_value	-127

Field	Value
title	High resolution sea ice type
Conventions	CF-1.4
netcdf4_version_id	4.6.2
netcdf4_format	NETCDF4
creation_date	2023-04-15T12:42:34Z
start_date	2023-04-15T00:00:00Z
stop_date	2023-04-15T12:00:00Z
product_version	1.0
software_version	1.0
abstract	This is an automatic generated sea ice type product from Sentinel-1 Syntetic Aperature Radar (SAR) data. The product by MET-Norway based on software developed by The Nansen Environmental and Remote Sensing Center. A more detailed description of the product can be found in the paper: https://www.mdpi.com/2072-4292/12/13/2165
spatial_resolution_latitude	1000.0
spatial_resolution_longitude	-1000.0
southernmost_latitude	62.65695660240098
northernmost_latitude	89.99566405939348
westernmost_longitude	-179.48149121943223
easternmost_longitude	179.51364520705164
institution	MET Norway
institution_reference	http://www.met.no
references	https://doi.org/10.3390/rs12132165